An Evaluation of Publicly Available Deep Learning Based Commercial Information Retrieval Systems to search Biomedical Articles related to COVID-19. (arXiv:2007.03106v1 [cs.IR])

Reducing Misinformation in Query Autocompletions. (arXiv:2007.02620v1 [cs.IR])

Searching Scientific Literature for Answers on COVID-19 Questions. (arXiv:2007.02492v1 [cs.IR])

MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. (arXiv:2007.01510v1 [cs.IR])

Climbing the WOL: Training for Cheaper Inference. (arXiv:2007.01230v1 [cs.IR])

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. (arXiv:2007.00808v1 [cs.IR])

Unsupervised Semantic Hashing with Pairwise Reconstruction. (arXiv:2007.00380v1 [cs.IR])

RepBERT: Contextualized Text Embeddings for First-Stage Retrieval. (arXiv:2006.15498v1 [cs.IR])

Embedding-based Retrieval in Facebook Search. (arXiv:2006.11632v1 [cs.IR])

A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19. (arXiv:2006.10964v1 [cs.IR])

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. (arXiv:2006.10389v1 [cs.IR])

MIMICS: A Large-Scale Data Collection for Search Clarification. (arXiv:2006.10174v1 [cs.IR])

I know why you like this movie: Interpretable Efficient Multimodal Recommender. (arXiv:2006.09979v1 [cs.IR])

Learning Colour Representations of Search Queries. (arXiv:2006.09904v1 [cs.IR])

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. (arXiv:2006.09595v1 [cs.IR])

Query Intent Detection from the SEO Perspective. (arXiv:2006.09119v1 [cs.IR])

An efficient algorithm for three-component key index construction. (arXiv:2006.07954v1 [cs.IR])

Mining Implicit Relevance Feedback from User Behavior forWeb Question Answering. (arXiv:2006.07581v1 [cs.IR])

Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search. (arXiv:2006.07548v1 [cs.IR])

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The "unofficial" Information Retrieval Mastodon Instance.

Goal: Make a viable and valuable social space for anyone working in Information Retrieval and related scientific research.

Everyone welcome but expect some level of geekiness on the instance and federated timelines.